SOTAVerified

Image Manipulation

Image Manipulation is the process of altering or transforming an existing image to achieve a desired effect or to modify its content. This can involve various techniques and tools to enhance, modify, or create images based on specific requirements.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 31–40 of 427 papers

TitleStatusHype
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding TransformerCode2
Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation LocalizationCode2
Prompt Augmentation for Self-supervised Text-guided Image Manipulation—0
Instruction-based Image Manipulation by Watching How Things Move—0
Detecting Facial Image Manipulations with Multi-Layer CNN Models—0
EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM—0
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation—0
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation DetectionCode1
Omni-IML: Towards Unified Image Manipulation Localization—0
HyperGAN-CLIP: A Unified Framework for Domain Adaptation, Image Synthesis and ManipulationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Pix2PixHD-SIALPIPS (S1)0.44—Unverified
2TPSLPIPS (S1)0.12—Unverified